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Data · dataset · 2009

The Study of Internet Use, Motivation, Living Adaptation, Learning Adaptation, and Social Adjustment for College Students: A Longitudinal Approach

Listed in Harvard Dataverse

Latent curve models were applied to test individual differences in initial status and growth rates of internet use for 282 Taiwanese undergraduate students.

Description

The time spent on the internet for nonacademic purposes was more than twice that for academic purposes. The fit of the model hypothesizing zero covariance between growth rate and initial status was satisfactory, indicating that where one starts as a freshman does not affect whether the student increases or decreases the internet use.

Furthermore, as the relationship of two initial assessments and that of slopes were not statistically significant in the multivariate latent growth model, academic and non-academic uses did not change together. Future research should differentiate between various internet uses to generate useful internet use data. A psychometrically sound instrument that can identify various uses is warranted.

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From keywords
Longitudinal study
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E93049-115 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[method].local:method:longitudinal-studymapping · Harvard Dataversevocabulary-mapper@1.0.0keywords['Longitudinal study']
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0